This paper focuses on the development of a methodology to compress neural networks that
is based on the mechanism of pruning the hidden layer neurons. The aforementioned neural …

With the development of deep neural net-work, Model compression has also become a hot
research area. A lot of theories of model compression focus on reducing the amount of …

Nowadays vehicle accidents are happening often, and it's terrible to assist them in maximum
conditions. So, this research paper would like to build an automatic system to observe and …

Over the last decade, deep neural networks (DNNs) have begun to revolutionize numerous
research areas. Their ability to distill knowledge through multi-level abstraction has yielded …

ATTENTION-BASED GRAPH REPRESENTATION LEARNING by YAN PANG BS, Henan
Polytechnic University, China, 2009 MS, Politecnico di T Page 1 ATTENTION-BASED GRAPH …

US healthcare spending reached 3 trillion dollars in 2014 and is expected to rise to 5.4
trillion dollars by 2024. Despite this heavy expenditure, preventable medical errors account …

Abstract Machine learning (ML) algorithms automate the data-label mapping and decision-
making processes. The output of the ML algorithms determines the next step in real-world …

Technology evolution nowadays moves vigorously to improve daily human life and directly
affect the earth's resource consumption. Reducing energy consumption leads to reducing …